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mindarmour/requirements.txt

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initial version
5 years ago
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  1. numpy >= 1.17.0

  2. scipy >= 1.3.3

  3. matplotlib >= 3.1.3

  4. pytest >= 4.3.1

  5. wheel >= 0.32.0

  6. setuptools >= 40.8.0

  7. mindspore

MindArmour关注AI的安全和隐私问题。致力于增强模型的安全可信、保护用户的数据隐私。主要包含3个模块：对抗样本鲁棒性模块、Fuzz Testing模块、隐私保护与评估模块。 对抗样本鲁棒性模块 对抗样本鲁棒性模块用于评估模型对于对抗样本的鲁棒性，并提供模型增强方法用于增强模型抗对抗样本攻击的能力，提升模型鲁棒性。对抗样本鲁棒性模块包含了4个子模块：对抗样本的生成、对抗样本的检测、模型防御、攻防评估。